{ "id": "1306.5100", "version": "v1", "published": "2013-06-21T11:23:30.000Z", "updated": "2013-06-21T11:23:30.000Z", "title": "Convergence and Quasi-Optimality of Adaptive FEM with Inhomogeneous Dirichlet Data", "authors": [ "Michael Feischl", "Marcus Page", "Dirk Praetorius" ], "comment": "31 pages, 7 figures", "journal": "J. Comput. Appl. Math., 255 (2014), 481-501 (open access)", "doi": "10.1016/j.cam.2013.06.009", "categories": [ "math.NA" ], "abstract": "We consider the solution of a second order elliptic PDE with inhomogeneous Dirichlet data by means of adaptive lowest-order FEM. As is usually done in practice, the given Dirichlet data are discretized by nodal interpolation. As model example serves the Poisson equation with mixed Dirichlet-Neumann boundary conditions. For error estimation, we use an edge-based residual error estimator which replaces the volume residual contributions by edge oscillations. For 2D, we prove convergence of the adaptive algorithm even with quasi-optimal convergence rate. For 2D and 3D, we show convergence if the nodal interpolation operator is replaced by the L^2-projection or the Scott-Zhang quasi-interpolation operator. As a byproduct of the proof, we show that the Scott-Zhang operator converges pointwise to a limiting operator as the mesh is locally refined. This property might be of independent interest besides the current application. Finally, numerical experiments conclude the work.", "revisions": [ { "version": "v1", "updated": "2013-06-21T11:23:30.000Z" } ], "analyses": { "subjects": [ "65N30", "65N50" ], "keywords": [ "inhomogeneous dirichlet data", "adaptive fem", "second order elliptic pde", "quasi-optimality", "edge-based residual error estimator" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 31, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2013arXiv1306.5100F" } } }